Random forest - Flink ML

[avilevi]

HI ,

 According to Tills comment I understand that flink-ml is going to be ditched. What will be the alternative ? 
Looking for a "random forest" method that we can add to our pipeline (scala). any suggestions?

Thanks

Avi

[Flavio Pompermaier]

I know there's an outgoing promising effort on improving Flink ML in the Streamline project [1] but I don't know why it's not very considered/advertised.

Best,

Flavio

[1] https://h2020-streamline-project.eu/apache-flink/

Il Lun 11 Mar 2019, 15:40 Avi Levi <[hidden email]> ha scritto:

HI ,

 According to Tills comment I understand that flink-ml is going to be ditched. What will be the alternative ? 
Looking for a "random forest" method that we can add to our pipeline (scala). any suggestions?

Thanks

Avi

[avilevi]

Thanks Flavio,

I will definitely check it out. But from a quick glance , it seems that it is missing implementation of "random forest" which is something that we are looking for .

If anyone can recommend/suggest/share that will be greatly appreciated.

Best Regards 

Avi

On Mon, Mar 11, 2019 at 10:01 PM Flavio Pompermaier <[hidden email]> wrote:

I know there's an outgoing promising effort on improving Flink ML in the Streamline project [1] but I don't know why it's not very considered/advertised.

Best,

Flavio

[1] https://h2020-streamline-project.eu/apache-flink/

Il Lun 11 Mar 2019, 15:40 Avi Levi <[hidden email]> ha scritto:

HI ,

 According to Tills comment I understand that flink-ml is going to be ditched. What will be the alternative ? 
Looking for a "random forest" method that we can add to our pipeline (scala). any suggestions?

Thanks

Avi

[Benoît Paris]

There has been some developments at  Apache SAMOA
<https://samoa.incubator.apache.org/>   for a forest of decision trees.

This is not regular Random Forest, but a form of trees that can be
incrementally learned fast. If I recall correctly they also have adaptive
algorithms as well. Here are some resources:

*  VHT: Vertical Hoeffding Tree <https://arxiv.org/pdf/1607.08325.pdf>  

*  Apache SAMOA <https://samoa.incubator.apache.org/>  

Now I don't know the status of the project nor have I tried them, nor have I
ever tried SAMOA; but this is something that could fit your needs.



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